credit risk management through securitization: effect on

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Credit Risk Management through Securitization: Effect on Loan Portfolio Choice Neil Adrian S. Cabiles Department of Economics University of Bologna Piazza Scaravilli 2, Bologna Italy Email: [email protected] Phone: +39 3931424929 Fax: +39 051 209 8143 Abstract We study how banks take advantage of securitization as a credit risk management tool. In theory, banks may handle their credit risk exposures by using securitization to unload risky loans from their balance sheets. Using data on 129 FDIC-member banks, we have found that while banks indeed use securitization to manage their credit risk exposures, they do not necessarily do so by totally isolating themselves from risk. Instead, they exploit the credit risk management property of securitization to take on greater risk, in pursuit of high returns. As banks carry out this strategy, the banks’ loan portfolios are complimentarily diversified, giving banks diversification benefits. These benefits serve as windfall, which, in turn, tempers the banks’ concerns on the higher risks that they have taken. JEL Classification: G21, G32, G01 Key words: Securitization, Portfolio Choice, Diversification

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Page 1: Credit Risk Management through Securitization: Effect on

Credit Risk Management through Securitization: Effect on Loan

Portfolio Choice

Neil Adrian S. Cabiles Department of Economics University of Bologna

Piazza Scaravilli 2, Bologna Italy Email: [email protected]

Phone: +39 3931424929 Fax: +39 051 209 8143

Abstract

We study how banks take advantage of securitization as a credit risk management

tool. In theory, banks may handle their credit risk exposures by using securitization

to unload risky loans from their balance sheets. Using data on 129 FDIC-member

banks, we have found that while banks indeed use securitization to manage their

credit risk exposures, they do not necessarily do so by totally isolating themselves

from risk. Instead, they exploit the credit risk management property of securitization

to take on greater risk, in pursuit of high returns. As banks carry out this strategy,

the banks’ loan portfolios are complimentarily diversified, giving banks

diversification benefits. These benefits serve as windfall, which, in turn, tempers the

banks’ concerns on the higher risks that they have taken.

JEL Classification: G21, G32, G01

Key words: Securitization, Portfolio Choice, Diversification

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I. Introduction

Bank engagement in securitization lies on two rationales. One is that securitization

provides the bank with an additional funding source and the other is that it can be a

risk management tool. The former point is explained by the transformation of

otherwise illiquid loans to liquid assets, where these loans are securitized and used

to borrow funds through a Special Purpose Entity (SPE). By this mechanism,

securitization helps banks with their funding matters. In Karaoglu (2005) and

Martin-Oliver & Saurina (2011), for example, it has been observed that banks with

deposit levels that are too low relative to the size of their loan portfolios tend to

securitize their loans, in an effort to address the said issue. Meanwhile, Loustkina

(2011) has found that banks with loan portfolios that are more “securitizable”1hold

less liquid assets2, because the additional funding from securitization makes the

holding of such costly liquidity buffers less necessary.

Alternatively, the risk management role of securitization comes in two forms.

First, which is related to its funding provision, is that securitization can serve as a

hedge against liquidity problems. In Loutskina (2011), this was pointed out in terms

of banks having more securitizable loans in their balance sheets, as being able to

continue and grant more loans even during funding shocks. Similarly, in Cabiles

(2011), we have shown that banks engaging much in securitization can take on more

loan commitments, whose unpredictable takedowns may pose illiquidity risk to

banks.

The other risk management role of securitization comes in providing banks with

a means to handle their credit risk exposures. When the loans are securitized and

transferred to the SPE, the loans leave the bank balance sheet. This results to the

banks being isolated from the risk of the loans that they have securitized. Many

studies have shown that banks attempt to take advantage of this credit risk

management property of securitization. For example, Minton, Sanders & Strahan

(2004), Bannier & Hänsel (2007) and Panetta & Pozzolo (2010), have all shown that

banks with more risky assets tend to securitize more. However, what may have been

missed in these studies is an examination of what happens as the banks securitize.

That is, these studies have shown that banks securitize, so that they might take some

loans out of their balance sheets and tone down their credit risk exposures. But,

these studies have not shown if the removal of loans through securitization has

1 Loutskina (2011) measures loan portfolio securitizability as the size of the bank’s loan portfolio multiplied by

the depth of the securitization market of the bank’s home economy. 2 Liquid Assets is defined in Loutskina (2011) as marketable securities plus Federal Funds Sold (i.e Reverse

Repurchase Agreements).

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indeed made banks get rid of risk and has, therefore, reduced the credit risk that

they respectively face. In this paper, we intend to provide the continuation of this

discussion, where we attempt to look at how the loan portfolios of banks change, in

terms of size and composition, with securitization. Moreover, we also investigate

what such change (if any) implies on the risks and returns that the banks eventually

face.

Using data on 129 member banks of the Federal Deposit Insurance Company

(FDIC), we initially look at how securitization may affect the size of the bank’s loan

portfolio. We observe that banks that securitize more (i.e. banks with medium to

high levels of securitization activity) have relatively bigger loan portfolio size, than

those that securitize less. While these findings may be due to the additional funding

provided by securitization3, such explanation may not be enough. Having more

funds (through securitization) does help in increasing a bank’s loan portfolio, but

matters on risk exposures also come at play. Thus, we argue that the increase in the

loan portfolio size that come with securitization could as well be driven by

securitization giving banks a means of getting rid of risk, that makes the banks more

flexible in granting and holding loans. In this sense, we may then consider that the

credit risk management property of securitization can increase the banks’ loan

portfolio size.

Subsequently, we look at the composition of the banks’ respective loan

portfolios, alongside their securitization activities. We view loan portfolio

composition in terms of the share of the different loans classes on the banks’ balance

sheet. We consider five loans classes namely, Real Estate, Commercial & Industrial

(C&I), Consumer, Farm and Others4. A clear observation we make is that the

portfolio share of Consumer Loans is bigger (smaller) for the banks with high (low)

securitization activity, while that of Real Estate Loans is smaller (bigger) among

banks that securitize much (less). This suggests that the portfolio share of Consumer

Loans increases with securitization activity, while that of Real Estate Loans

decreases. In addition, given that Real Estate Loans are the most securitized loans

by banks while Consumer Loans are securitized much less, we also get the

impression that banks may have increased their holdings of Consumer Loans,

through the securitization of their Real Estate Loans.

We attribute the above occurrence to the high risks of Consumer Loans and Real

Estate Loans and to the high positive covariance of risk between the said loans

3 As pointed out by numerous studies such as Cantor & Demsetz (1993), Altunbas, Gambacorta & Marquez-

Ibanez (2007), Goderis, Marsh, Costello & Wagner (2007), Loutskina & Strahan (2008) and Gambacorta &

Marques-Ibanez (2011). 4 The loans class “Others” refers to Acceptances and Receivables discounted by banks.

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classes. Looking at the default rates of the different loans classes, we observe that

Consumer Loans and Real Estate Loans have the highest default rates, with the

former having higher default rates than the latter. This makes the two said loans

classes the riskiest loans that banks can hold. At the same time, we also observe that

Consumer Loans and Real Estate Loans have the highest positive covariance of

defaults. This means that holding both Consumer Loans and Real Estate Loans

simultaneously may be too risky, which requires the banks to unload one class of

loans when they hold on to the other. Since Consumer Loans are more monitoring

intensive than Real Estate Loans5, banks may have opted to hold on to Consumer

Loans, where holding and closely monitoring this loans class could realize its high

potential interest income (that comes with its observed high risk6). At the same time,

the banks may have also unloaded Real Estate Loans (while holding Consumer

Loans) because Real Estate Loans are easier to securitize, owing to the

collateralization of this loans class7.

With these observations and its accompanying explanations, we may then

consider the idea that banks may have increased their loan portfolios towards more

Consumer Loans, by taking some Real Estate Loans out of their balance sheet

through securitization, which consequently gives them more space to take on the

risky but high-yielding Consumer Loans. This implies that the banks’ employment

of the credit risk management property of securitization may be in the direction of

being exposed to greater risk, while pursuing high returns.

To test our inference, we implement a series of empirical estimations. First, we

look at the relationship between securitization and loan portfolio size, to verify our

initial observation that banks may have engaged in securitization, so that they can

enlarge their loan portfolios. Employing the data on our 129 FDIC member banks,

we find such confirmation through a positive relationship between securitization

5 Consumer Loans are monitoring intensive because these loans are uncollateralized loans to individuals,

where the failure of such a loan gives zero pay-off to the bank (i.e. the bank must monitor the Consumer Loans

to almost surely avoid losses). On the other hand, Real Estate Loans are collateralized loans for residential

home purchases, where the failure of such a loan can still pay-off the bank through its seizure of the collateral

(i.e. the bank does not need to strongly monitor a Real Estate Loan because, should (at worst) the loan fails,

the bank can still receive a pay-off by taking the collateral). 6 As the risk-reward principle posits.

7 The ease of securitizing a loan may depend on the appeal of such loan to serve as the underlying asset which

backs the debt issued in the securitization transaction. This appeal, in turn, rests on the value of the loan itself.

A collateralized loan’s value is derived from the likelihood that it successfully pays-off and from its collateral.

Meanwhile, an uncollateralized loan’s value is derived solely from the said probability of a successful pay-off. A

loan that is collateralized may then be of higher value, as opposed to an uncollateralized one, and is then also

of higher appeal as an underlying asset in a securitization transaction. It thus follows that a collateralized loan,

such as a Real Estate Loan, is easy or easier to securitize (relative to an uncollateralized loan such as a

Consumer Loan).

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and total loans holdings. Next, we check if this increase in the loan portfolio,

through securitization, is indeed geared towards holding Consumer Loans. Our

results show that securitization is positively related to the portfolio share of

Consumer Loans, establishing the above point. In our following empirical analysis,

we seek to prove that banks have used securitization to be able to take on higher

risk, embodied in the increased holding of Consumer Loans above. Using loan

defaults as indicators of loan portfolio risk, we find that securitization has a positive

effect on the overall loan portfolio risk of our sample banks. This implies that banks

may have exposed themselves to higher risk as they securitize, contrary to risk-

unloading that has been expected of securitization (in principle). Lastly to see if the

banks have done so to get higher returns, we take the banks’ Return on Assets

(ROA) and Return on Equity (ROE) and estimate them against securitization

activity. With securitization being positively related to both the ROA and the ROE,

we come to the conclusion that banks have certainly made use of the credit risk

management property of securitization to engage in greater risk, so that they may

reap high returns.

However, we also find that the above returns achieved through securitization,

though high, are volatile. We draw this after observing a positive effect by

securitization on the volatilities of the ROA and that of the ROE. The implication of

this finding is that although the high risk-taking may be accompanied by high

returns, the instability of such returns may pose a concern to the banks. This concern

could sequentially compromise the banks’ interest in continuing to engage in

securitization. In such a situation, a certain windfall that would convince the banks

to sustain their securitization activities may be necessary. We find this windfall as

we look into the diversification effects of securitization.

With our earlier finding that securitization can lead to the increase in the

portfolio share of Consumer Loans, we consider that with securitization, the

diversification of the banks’ respective loan portfolios may have also changed.

Using a modified Herfindahl-Hirschman Index (HHI) as an indicator for loan

portfolio diversification, we find that securitization activity is positively related to

loan portfolio diversification or that securitization can make the banks’ respective

loan portfolios more diversified. Further analysing this point leads us to find that

the alteration of the loan portfolio composition towards diversification, may also

allow banks to enjoy the beneficial effects of diversification, namely reduced overall

loan portfolio risk and lower returns volatility. Through these positive side-effects,

the concerns on increased risk and unstable returns found earlier could be offset. As

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such, the banks may be motivated to continue and conveniently take on greater risk

through securitization, and enjoy the accompanying high returns.

Our study makes a number of contributions to the literature on securitization.

First, our work builds up on earlier studies that view securitization as a means for

banks to increase their loan-taking activities. Our study goes further on this point

by showing that securitization may not only increase the size of the bank’s loan

portfolios, but may also change the composition of the loan portfolio towards more

risky loans and diversification. Second and more importantly, our study adds to the

literature on securitization as a risk management tool, where it shows that

securitization may not necessarily be used for absolute risk isolation or reduction.

Instead, our study points out that securitization is a risk management tool in the

sense that it can be used by banks to take on more credit risk in pursuit of high

yields, while also reaping the benefits of loan portfolio diversification. Lastly, our

study also contributes to the ongoing discussions on the value of securitization.

Following its involvement in the recent financial crisis, securitization has had an

unfavourable reputation. By showing that securitization has risk-taking, profit-

augmenting and diversification effects, our study points out that securitization may

still have some significance.

The rest of our paper is organized as follows; Section II provides a short

background on the credit risk management property of securitization and our

preliminary data analysis. Section III provides a discussion of the literature related

to our study. Section IV presents our empirical analyses in two parts. Section V gives

some further analyses involving securitization and loan portfolio diversification.

Section VI concludes.

II. Background and Preliminary Analysis

Among the properties of securitization that motivate banks to engage in such

activity is its provision of a means to manage credit risk. When a bank securitizes, it

transfers the pool of loans to be securitized to an SPE. This movement takes the

loans out of the bank balance sheet, which effectively isolates the bank from the risk

on these loans. Minton, et. al. (2004), Bannier & Hänsel (2007) and Panetta & Pozzolo

(2010) have all demonstrated that the banks that securitize more are those with more

risky assets. These studies imply that banks may have actually taken advantage of

this credit risk management property of securitization.

However, what these past discussions may have left off is an investigation on the

changes that the banks experience, as they securitize. While the studies mentioned

above may have argued the point that banks securitize with the goal of isolating

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themselves from risky loans, the studies have not, for example, shown if banks do

indeed have less risky loan portfolios as they securitize. We fill in this gap by

looking at the effects of securitization on the banks’ loan portfolio in terms of size

and composition, as well as, on the resulting risk and returns profiles of the banks.

To go about our analyses, we first look at the securitization and loan portfolio

data of the Top 12989 member banks of the FDIC from 2001-201010. We begin by

taking the average securitization activity11 of each our sample banks for our entire

sample period. Using the average securitization activity of each bank, we rank our

banks from the highest securitization activity to the lowest. This ranking allows us

to cut our sample banks into three groups, where banks above the 67th percentile of

the ranking are considered as the banks that engage much in securitization (i.e.

High-Securitizers), those between the 67th and 33rd percentile of the ranking are

taken as the medium securitizing banks (i.e. Mid-Securitizers) and, the banks at the

bottom 33rd percentile of the ranking are treated as the banks that securitize the least

(i.e. Low-Securitizers). With this grouping of our sample banks, we can take the

average attributes of their loan portfolios (by group). This gives us a bird’s eye-view

of the relationship between securitization activity and the banks’ loan portfolio,

which we report in Table 1.

We can find in Table 1, that securitization may lead to a larger loan portfolio.

Looking at the Total Loans to Assets ratio, we find that the High and the Mid-

Securitizers have bigger loan portfolios than the Low-Securitizers. On the one hand,

banks that securitize much may be able to have more loans because securitization

provides them with the funds that they need to do so12. However, we must take into

account that the holding of loans is not just about having the funds to loan out, but

also the tolerance or the space to bear the risk posed by the loans. As such, the larger

loan portfolios among the heavy securitizing banks could also be an effect of the

credit risk management property of securitization. That is, since securitization

provides the banks with a vent for loans that they may eventually deem too risky,

banks that are much engaged to securitization may be more accommodating or

flexible in giving loans. Hence, securitization may increase the loan portfolio size of

the banks.

8 In Terms of Assets.

9 We started with the Top 150 FDIC Member banks but due to mergers and closures within our sample period,

as well as, missing reports, our number of sample banks gets trimmed to 129. 10

We begin at 2001:4 since this is the period when the FDIC member banks have started reporting their

Securitization Activities. 11

We measure the securitization activity of our sample banks through its reported Bank Assets Sold &

Securitized normalized to Total Assets. 12

See Note 3.

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Considering this increase in the loan portfolio associated with securitization, we

look at next how securitization may also change the composition of the loan

portfolio. We view the composition of the loan portfolio in terms of the different

loans classes that the banks hold. We consider five loans classes namely, Real Estate,

C&I, Consumer, Farm and Others13. To able to see the effect of securitization on the

composition of the loan portfolio, we take the portfolio shares of each loans class

among our sample banks. We report the average of these portfolio shares per bank

group in Table 1. From Table 1, the clear observations we can make are that the

portfolio share of Consumer Loans (i.e. Consumer Loans/Total Loans) increases

monotonically with securitization, while that of Real Estate Loans decreases

monotonically with securitization. Given this we find that securitization seems to be

associated with more holdings of Consumer Loans (relative to other loans classes) as

well as lesser holdings of Real Estate Loans (relative to other loans classes).

With these opposing trends between the holdings of Consumers Loans and that

of Real Estate Loans in relation to securitization, we entertain the possibility that

banks may have increased their Consumer Loans holdings through the

securitization of Real Estate Loans. We get support for this idea in Figure 1, where

we find that Real Estate Loans are the loans that have been primarily securitized by

banks, and that banks have been securitizing Consumer Loans less. Figure 1

presents the quarterly share of securitized loans to total loans outstanding of each

loans class from 2001-2010. We can see in Figure 1 that, throughout the period we

consider, banks have been predominantly securitizing Real Estate Loans, while

Consumer Loans have not been securitized as much by banks. In fact, towards the

time when securitization has been a popular activity among banks (i.e. 2006), we see

in Figure 1 that the securitization of Real Estate Loans have had some increase while

that of Consumer Loans have remained flat. In addition, we also find in Figure 1 that

even when securitization has fallen out of favour at about 2009 (due to its

involvement with the subprime crisis), Real Estate Loans is still the leading loans

class that is being securitized.

We attribute this likely scheme of securitizing Real Estate Loans to hold

Consumer Loans to the high risks of these two loans classes and to the high positive

covariance of risk between these two loans classes. In Figure 2, we plot the default

rates of our different loans classes. We can observe in Figure 2 that Consumer Loans

have the highest default rates among the different loans classes, followed by Real

13

See Note 4.

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Estate Loans14. This means that the said two loans classes may be the riskiest loans

that the banks can hold. Meanwhile, in Table 2, we report the covariances of the

default rates of our different loans classes. We can see that the pair of loans classes

with the highest positive covariance of risk is that of Consumer Loans and Real

Estate Loans. Combining these two observations imply that simultaneously holding

Consumer Loans and Real Estate Loans may be too risky for banks. That is, since

Consumer Loans and Real Estate Loans are the riskiest loans classes that banks can

hold, and that these two loans classes have a very high positive risk covariance,

holding much of the two of them at one time, may exhaust a bank’s tolerance for risk

(i.e. risk limits). Thus, it may be then be necessary for the bank to unload one loans

class (i.e. the Real Estate Loans), when holding the other loans class (i.e. the

Consumer Loans). Considering that Consumer Loans are loans to individuals that

have no collateral, Consumer Loans require more monitoring, where doing so can

realize its high potential returns (associated with its high risk)15. As such, banks may

have chosen to hold more Consumer Loans, as opposed to Real Estate Loans. In

addition, banks may have also securitized Real Estate Loans (as they hold Consumer

Loans) because the collateralization of Real Estate Loans, makes it easier for this

loans class to be securitized, than the uncollateralized Consumer Loans (and even

the other loans classes). The ease of securitizing a loan may depend on the value of

such loan to serve as the underlying asset that backs the debt in a securitization

transaction. Real Estate Loans, by being collateralized, surpass Consumer Loans and

other loans classes in such qualification, because the collateral of Real Estate Loans

pushes up that value16.

From our above discussion, we may construe that securitization must have been

used by banks, not necessarily to totally isolate themselves from risk (as the theory

may expect). Rather, what we have is that banks may have taken advantage of the

credit risk management property of securitization, by using it as a means to gain the

flexibility to take on higher risk and consequently enjoy the high returns promised

by such risk increase. To put this in terms of our observations above, through the

securitization of Real Estate Loans (which takes these loans out of the balance sheet),

banks have managed to gain some space to increase their loan portfolios towards

Consumer Loans. As we find, Consumer Loans is the riskiest loans class that banks

14

We note that we can see in Figure 2 that the default rates of Real Estate Loans may have caught up with

that of Consumer Loans in 2008:2. However, we must consider that this period may have been triggered by an

exogenous shock, namely the bursting of the US Housing Market Bubble. Following the US Housing Market

Collapse, we can see in Figure 2 that Consumer Loans still have relatively higher default rates than Real Estate

Loans. 15

See Notes 5 & 6. 16

See Note 7.

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can hold implying that the banks’ taking in of Consumer Loans through

securitization, is an increase in risk taking. Moreover, as we point out, banks have

held on to more Consumer Loans to be able to monitor them intensively and realize

the high potential returns that their high risk promises. Given this, the banks’

expansion of its loan portfolio towards risky Consumer Loans through

securitization, may be in the pursuit of high returns.

To confirm our hypothesis we employ our data on the 129 member banks of the

FDIC in a series of estimations. First, we test if securitization does have a positive

relationship with loan portfolio size, to verify our point that securitization has been

used by banks to gain more flexibility in taking on loans. Next, we look at the

relationship between securitization and the portfolio share of Consumer Loans, to

see if the increase in the loan portfolio of the banks has indeed been towards

Consumer Loans. Following this, we investigate if securitization is positively related

to the overall loan portfolio risk of the bank, which will establish that banks have

changed their loan portfolios through securitization, in the direction of taking on

higher risk. Lastly, we examine if securitization is also positively related to the

returns of the bank, to see if the above move of increasing risk exposures has been

motivated by the interest of getting high returns17. However, before we proceed to

these analyses we briefly discuss the literature related to our study.

III. Related Literature

Our study is primarily related to Cebenoyan & Strahan (2004) that looks into bank

engagement in loan sales, which is an analogue to securitization18. In Cebenoyan &

Strahan (2004), it has been observed that banks that actively sell their loans can

increase their risky loans holdings in the form of Commercial Real Estate loans and

C&I loans. In other words, the study has found that loans sales have an effect on the

bank’s loan portfolio, where such portfolio gets to admit more risky loans.

Following this change in the loan portfolio, the study investigates if the bank’s risk

and returns may have been affected. The study’s results show that the volatility of

17

Which may be achieved with the complimentary increased monitoring of the risky exposures 18

Like securitization, the loans are sold to third parties under loans sales and, hence, leave the bank balance

sheet, isolating the bank from the risk of these loans. The difference (among others) in the case of loan sales is

that, the loans are sold directly to investors, which makes the investors’ risk exposures contingent on the loans

that they have respectively bought. On the other hand, in the case of securitization, the loans are sold to the

SPE, which in turn, issues debt backed the loans it has purchased to the investors. In effect, the risk exposures

of the investors, in securitization, rely on the pool of loans that backs the SPE-issued debt. Notwithstanding

this difference, however, loan sales and securitization are, as mentioned, similar in terms of the risk

management property that they provide to banks.

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loan defaults are not statistically correlated with loan sales, implying that the

increase in risky loan holdings stemming from loan sales does not necessarily

translate to a higher overall risk profile for the bank. At the same time, the study has

observed that loan sales are also not statistically related to the ROA and ROE of the

banks, but are instead negatively related to the volatility of the ROA and that of the

ROE. These suggest that risky loan holdings brought about by loan sales may not

also compromise the bank’s returns and that it may even make the banks’ returns

more stable. The conclusion that may be drawn from the study is thus, that loan

sales serve as a risk management tool for the bank, wherein it allows the bank to

take on higher risk without exacerbating the bank’s overall risk profile and, at the

same time, gives the bank the benefit of more stable returns.

On studies that focus on securitization, our study is related to Dione &

Harchaoui (2003) and Loutskina (2011), where both studies show that securitization

can lead to banks being able to grant and hold more risky loans. In Dione &

Harchaoui (2003) it has been pointed out that increasing levels of securitization tend

to increase the risk-weighted assets to assets ratio among Canadian banks.

Meanwhile, Loutskina (2011) has shown that banks with more securitizable loan

portfolios can continue to lend to the C&I Sector, and even increase this lending

during periods of funding shocks. The said study points out that C&I loans may be

the riskiest and least liquid types of loans that banks can grant.

In addition, our study is also connected with Pavel & Phillis (1987) and Panetta &

Pozzolo (2010), through our later discussion on the diversification effect of

securitization. In Pavel & Phillis (1987), it has been found that banks participate in

loan sales to have more diversified loan portfolios. The said study has shown that

banks that are less diversified are more likely to sell their loans and that the banks

that have done so attain more diversified loan portfolios (as opposed, to those that

have not engaged in loan sales). On the other hand, Panetta & Pozzolo (2010) has

found that banks that securitize, tend to end up with more diverse loan portfolios.

Specifically, the study has observed, that banks that have securitized, have loan

portfolio compositions that are more equally distributed among mortgages, leases

and other loans.

IV. Empirical Analyses

We divide our empirical analyses into two parts. The first part deals with the banks’

usage of securitization to make changes in their loan portfolios, in terms of size and

composition. For the second part of our analysis, we examine if such changes made

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by banks through securitization are in the interest of taking in greater risk, to reap

high gains.

To review, we implement our empirical analysis using our data on the 129

member banks of the FDIC from 2001-2010. The balance sheet data of our sample

banks are found in their submitted Call Reports that are accessible at the FDIC

website. The Call Reports are available on a quarterly basis.

For all our estimations, we measure securitization activity by taking the sum of

Bank Assets Sold and Securitized reflected in our banks’ Call Reports. We normalize

this figure to Total Assets. This variable for securitization activity, which we shall

note as Securitization, will be our main variable of interest in our empirical analyses.

A. Securitization and the Bank Loan Portfolio

i. Loan Portfolio Size

We begin our empirical analysis with the test on the banks’ usage of securitization to

gain more flexibility in holding more loans. We do this by looking at the relationship

between securitization and loan portfolio size. Our specification is as follows:

itititoit XtionSecuritizaY εβαα +++= −− 111 (1)

Where: itY = Total Loans Holdings or Loan Portfolio Size of bank i at the end of

quarter t; 1−ittionSecuritiza = securitization activity of bank i at the beginning of

quarter t; and 1−itX = vector of bank-specific control variables of bank i at the

beginning of quarter t.

To measure Loan Portfolio Size, we take the reported Total Loans and normalize

it to Total Assets (Total Loans/Assets). We expect that Securitization should be

positively related to Total Loans/Assets (i.e. 01>α ). As we have argued

securitization creates a vent for the banks to rid themselves of risk. With this facility,

a bank may then be more accommodating in granting and holding loans, which

leads to an increase in its loan portfolio size.

To account for the other factors that may have an influence on the banks’ loans

holdings (besides securitization), we add bank-specific control variables in our

specification. The bank-specific factors we consider are Bank Size (measured

through the Log of Assets), Capitalization (measured through the Capital-to-Assets

Ratio) and the size of the bank’s Traditional Funding Base (measured through Core

Deposits/Assets). We also take into account if the bank operates within only one

state or region (Local Bank Dummy) and if the bank is affiliated to a foreign bank

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holding company (Foreign Bank Dummy), as these characteristics may also have an

influence on the size of the bank’s loan portfolio19.

The summary statistics of the control variables involved in our estimations are

also reported in Table 1. We can observe from our summary statistics that banks that

securitize more, are bigger and better-capitalized. These bank characteristics may

lend support to the banks, as they hold more loans through securitization. We also

observe that banks that securitize more are less dependent on traditional funding.

As we move from the Low-Securitizers group to the High-Securitizers group, we

observe that Core Deposits/Assets is decreasing. This could be due to the other

property of securitization, which is that of being a funding facility20.

In implementing our specification, we employ bank fixed effects (FE) and panel

instrumental variables (IV) regressions. In our IV regressions, we use as instruments

the previous period’s21 Securitization Activity, Bank Size, Capitalization and

Traditional Funding Base. Moreover, we also use as instruments a measure for the

extent of Credit Enhancements22 that a bank offers on its securitization transactions,

as well as, a measure for riskiness of the loans that the banks have securitized23. The

previous period’s Securitization Activity, Credit Enhancements and riskiness of

securitized loans affects our dependent variable (i.e. loan portfolio size), only

through our main explanatory variable24 (i.e. the beginning of the quarter’s

19

Local banks may have less market coverage than national banks and thus may have smaller loan portfolios.

Foreign banks, on the other hand, due to their reputation and larger market coverage, may have larger loan

portfolios. 20

See Karaoglu (2005), Martin-Oliver & Saurina (2008) and Loutskina (2011) for studies on the funding

property of securitization. 21

Given that we use a one-period lag on our independent variables, these instruments mentioned will then

take a two-period lag. 22

Credit Enhancements are special features that banks may offer on their securitization transactions to make

their deals more attractive. For a comprehensive discussion on Credit Enhancements and its various types, see

Lea (2006). In this study, the Credit Enhancements that we consider are Subordinated Securitization and Lines

of Credit. We measure the extent by which our sample banks offer these features by taking the ratio of the

Amount of Credit Enhancements to the Total Amount of Securitized Loans (i.e. Total Amount of Subordinated

Securitization Retained by the Bank/Total Bank Assets Sold and Securitized, Lines of Credit on Securitized

Loans/Total Bank Assets Sold and Securitized). Data on Credit Enhancements are reported in the FDIC Call

Reports. 23

We measure the riskiness of our sample banks’ securitized loans by taking the default rate of the banks’

securitized loans. We calculate the default rate as the ratio of the Amount of Securitized Loans in Default to

the Total Amount of Securitized Loans (i.e. Total Amount of Securitized Loans in Default/Total Bank Assets

Sold and Securitized). 24

The said instrumental variables have no direct effect on the observed loan portfolio size, but may only be

related to it through Securitization Activity (which, as argued, may have a positive relationship on the loan

portfolio size). A bank that has had a large Securitization Activity for the previous period may be able to

securitize more in the following periods, as its previous securitization activity could allow it to build a certain

expertise and reputation in carrying out the transaction (Albertazzi, Eramo, Gambacorta & Salleo (2011)).

Likewise, a bank that offers much Credit Enhancements on its securitization transactions may also be able to

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Securitization Activity (1−ittionSecuritiza )). Maintenance of our results in the FE

estimations under our IV estimations, will then rule out the issue of reverse causality

between securitization and loan portfolio size.

In addition to using the two above estimation processes, we also execute our

specification under three different periods. The first period we consider

encompasses our entire sample period from 2001:4-2010:4. For the second period, we

consider only 2001:4-2009:2 (which is the period when securitization has been

popularly practiced by banks), while the third period concerns only 2009:3-2010:4

(which is the period when banks have mainly shied away from securitization25). We

differentiate between these periods to be able to establish if, even at the time when

securitization has already been unpopular due to its entanglement with the

subprime crisis, banks can still use it to be able to hold more loans.

Our estimation results are reported in Panel 1 of Table 3 and in Panel 1 of Table

4. Both the FE and IV estimation results are presented in Tables 3 & 4. In Table 3 the

results concern the entire sample period of 2001:4-2010:4, while in Table 4 the results

are differentiated according to when securitization was in favour (2001:4-2009:2) and

when it has been less so (2009:3-2010:4). We find in both FE and IV estimations in

Panel 1 of Table 3 that Securitization is positively related to Loan Portfolio Size, as

expected. Our results show that this effect of Securitization is, as well, statistically

and economically significant. This finding establishes the point that banks may have

used securitization to take in more loans. As we have pointed out, securitization

gives the bank the option to unload loans, should they deem some loans too much to

bear. Given this outlet, banks may then be more flexible in holding loans, which can

inflate their portfolios. In Panel 1 of Table 4, we see that this point applies in both

periods when securitization was popular and when it was otherwise. We find that in

both differentiated periods, the FE and IV estimations still show a positive

relationship between Securitization and Loan Portfolio Size

On the control variables all our results in Panel 1 of Table 3 and Panel 1 of Table

4, show that Log of Assets is negatively related to Total Loans/Assets. Though this

may be an unexpected result, this can be explained by big banks being more

involved in other activities such as fee-based services (e.g. securities underwriting,

securitize more, because the Credit Enhancements serve as guarantees that the securitization transactions

involve good quality underlying assets and that it will pay-off its investors, even if a default in the underlying

assets happen (Thomas (1999), Gorton & Souleles (2005), Ashcraft & Schuermann (2007)) . Meanwhile, a bank

with risky securitized loans may find its securitization activity limited, as its high incidence of defaulting

securitized loans may signal that the underlying assets on its securitization transactions are of poor quality. 25

This period may be observed in Figure 1 as the horizon where there has been a steep drop in the

securitization of Real Estate Loans (as well as Consumer Loans) and that there has been no recovery since then

on in the securitization of loans (irrespective of class).

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loan syndication, etc.). Involvement in these other activities tends to compromise the

bank’s interest-income driven activities, specifically, loans. Hence, the negative

relationship observed between loan holdings and bank size. On the other hand, the

Capital-to-Assets Ratio (CAR) has come out positively related to total loans

holdings, also in all estimations reflected in Panel 1 of Table 3 and Panel 1 of Table 4.

This result is straightforward, as more capitalized banks are more capable of bearing

loan exposures.

ii. Loan Portfolio Composition

Having established that banks use securitization to expand their loan portfolios, we

proceed to investigate if such, as we have earlier observed, is geared towards

holding more Consumer Loans. To do this, we re-estimate Equation (1) with the

portfolio share of Consumer Loans (Consumer Loans/Total Loans) as dependent

variable. In our estimations, we implement the same estimation techniques and

treatments in the sample period, as in our previous analysis between securitization

and loan portfolio size. We expect that securitization should be positively related to

Consumer Loans/Total Loans (i.e. 01>α ).

From our set of results in Panel 2 of Table 3, we find a confirmation of our above

expectation. Securitization is positively related to Consumer Loans/Total Loans, with

this effect being statistically and economically significant. At the same time, from

our results in Panel 2 of Table 4, we observe that the positive relationship between

Securitization and Consumer Loans/Total Loans holds in both periods when

securitization was highly practiced and when it was not. Going through our control

variables, the robust and economically significant relationships to Consumer

Loans/Total Loans that we find are those on Capitalization and Core

Deposits/Assets. We have in the results of both Panel 2 of Table 3 and Panel 2 of

Table 4 that Capitalization is positively related to Consumer Loans/Total Loans.

This result reiterates the importance of capital adequacy in bearing loan exposures,

especially risky loans such as Consumer Loans. Meanwhile, Core Deposits/Assets is

negatively related to Consumer Loans/Total Loans in all our estimations. This

implies that banks relying much on traditional funding may not grant and hold

much Consumer Loans. This can be explained by the banks creating a mismatch on

their assets and liabilities to manage cash flows, since both Core Deposits and

Consumer Loans are retail in nature26.

26

Consumer Loans and Core Deposits are retail banking activities in the sense that banks transact such

activities with individual clients. In a period when there is a high demand for cash among consumers, a surge

in applications for Consumer Loans might happen alongside deposit withdrawals, creating a cash flow

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With our findings above, we have managed to prove the first two points of our

hypothesis. These points are that banks have taken advantage of the credit risk

management property of securitization to be able to increase their loan portfolios,

and that this increase is geared towards Consumer Loans. In the following analyses,

we seek to confirm the remaining part of our hypothesis. This is that as the banks

make the said changes in their loan portfolios using securitization, they expose

themselves to higher risk and that this exposure to greater risk has been done to

enjoy high returns (that an increase in risk-taking with intense monitoring

promises).

B. Securitization, Loan Portfolio Risk and Bank Returns

i. Loan Portfolio Risk

To check if banks may have exposed themselves to more risk through securitization,

we look at the relationship between securitization and the overall risk of the bank’s

loan portfolio. We take four indicators of loan portfolio risk namely; a. the Non-

Performing Loans27 to Total Loans Ratio (NPLs/Total Loans); b. the standard

deviation of NPLs/Total Loans28 (SD NPLs); c. the Loan Charge-Offs29 to Total

Loans Ratio (Charge-Offs/Total Loans); and d. the standard deviation of Charge-

Offs/Total Loans30 (SD Charge-Offs).

Given our measures for loan portfolio risk, we do panel estimations of the

following equation:

ititititoit ZXtionSecuritizaY εφβαα ++++= −−− 1111 (2)

Where: itY = Loan Portfolio Risk Indicator of bank i at the end of quarter t;

1−ittionSecuritiza = securitization activity of bank i at the beginning of quarter t; 1−itX =

vector of bank-specific control variables of bank i at the beginning of quarter t; and

1−itZ = vector of shares of each loans class in the loan portfolio of bank i at the

beginning of quarter t.

For the bank-specific control variables, we include the same control variables for

Bank Size and Capitalization plus a control variable for Loan Portfolio Size,

measured by Total Loans normalized to Total Assets (Total Loans/Assets). We

problem. Thus banks, may want to avoid engaging in both retail lending and borrowing activities

simultaneously, or in other words, create a mismatch in their assets and liabilities. 27

Non-Performing Loans are defined as loans that have been past due for 90s days plus loans that have been

in non-accrual status. 28

In calculating SD NPLs, we use NPLs of the four quarters of each year. As a result we experience a reduction

in the number of observations when using this as indicator for loan portfolio risk. The same case applies to SD

Charge-Offs. 29

Loan charge-offs are defined as loans that have been delinquent for at least 120 days. 30

See Note 28.

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control for Loan Portfolio Size as this variable may have an influence on the

incidence of loan defaults (which we use as indicators for loan portfolio risk). Like in

our previous estimations we also take into account the geographical confinement of

the bank’s operations (Local Bank Dummy) and its affiliation to a foreign bank

holding company (Foreign Bank Dummy).

At the same time, we also include variables controlling for the shares of each

loans class in the banks’ respective loan portfolios (vector-Z). We include this set of

control variables, considering that each loan class have varying risk and may

therefore have different impacts on the incidence of loan defaults. To avoid perfect

collinearity, we exclude the portfolio share of Other Loans (i.e. Other Loans/Total

Loans).

Going back to Table 1, we see in our summary statistics that our indicators of

loan portfolio risk are generally higher for banks that securitize more (i.e. those in

the Mid and High-Securitizers Group), than those that securitize less (i.e. those in

the Low-Securitizers Group). This gives us the impression that overall loan

portfolio risk may increase with securitization. In Table 5, we get a verification of

this notion where we find a positive relationship between Securitization and all our

measures of loan portfolio risk. As reported in Table 5, securitization is statistically

and economically significant in most of our estimations except that of SD Charge-

Offs. These results affirm our point that banks have used securitization not

necessarily to totally isolate themselves from risk, but rather to be able to bear

greater risk.

On the control variables, Banks Size, Capitalization and Loan Portfolio Size are

chiefly positively related to loan portfolio risk. Bigger and more capitalized banks as

well as banks with larger portfolios do tend to take on more risk. Hence, such

variables are bound to be positively related with loan portfolio risk. Meanwhile, the

respective portfolio shares of the different loans classes are also mostly positively

related to all the measures of loan portfolio risk. This result is immediate, as every

loans class must pose some risk to the loan portfolio of the bank.

ii. Bank Returns

Finding that banks may have securitized towards increasing their loan portfolio risk,

we go to our other point, where this move may have been stirred by the banks

wanting to realize the high potential returns of such risky loan exposures (with more

intense monitoring). Should this be the case, then securitization activity must be

associated with high returns for the banks. We measure bank returns in two

dimensions namely the actual returns of the bank and the stability of these returns.

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Our measures for the actual bank returns are the ROA and the ROE, while for the

stability of bank returns, our indicators are the respective standard deviations of the

ROA and ROE (SD ROA and SD ROE)31. The higher the SD ROA or the SD ROE, the

less stable are the bank returns.

Looking at the summary statistics of our variables for bank returns in Table 1, we

find some evidence that the increase in risk taking through securitization may be

accompanied by high bank returns. We observe that the ROA and the ROE for High-

Securitizers are markedly higher than that of Mid-Securitizers and Low-Securitizers.

However, it also seems that these high returns may not necessarily be

complemented with more stable bank returns, as the SD ROA and the SD ROE

appear higher for the groups of banks that securitize more.

To verify our observations, we estimate our variables for bank returns against

the same independent variables we used in the estimations for loan portfolio risk

(i.e. Equation 2). The results are presented in Table 6. In Panels 1 & 2 of Table 6, we

find that Securitization is positively related to both the ROA and ROE and is also

statistically and economically significant in both estimations. These findings along

with the earlier ones on loan portfolio risk, confirm our point that banks may have

used securitization to take on higher risk and enjoy high returns. This is emphasized

with the portfolio share of risky Consumer Loans being also positively related to the

ROA, while the portfolio shares of the other loans classes have coefficients with

negative signs. On the other control variables, we have that bank size and

capitalization are negatively related to bank returns, pointing out that big and more

capitalized banks are not necessarily the most profitable. This may be once again

due to the tendency of most of these banks to go into other activities where these

activities may not be very high-yielding (e.g. fee-based services). Loan portfolio

size, on the other hand, is positively related to both ROA and ROE. These results are

driven by the large interest income that is derived from a big loan portfolio.

Meanwhile, Panels 3 & 4 show that securitization is positively related to the SD

ROA and the SD ROE, or that securitization can lead to unstable bank returns. These

results may be due to the risky source of the high returns provided by securitization,

which is that of increasing the portfolio share of risky loans. The implication of these

findings is that, although the banks’ increase in risk exposures through

securitization may yield high gains, these gains may be unstable (owing to the high

31

Like in the case of SD NPLs and SD Charge-Offs, the SD ROA and the SD ROE are calculated using the ROA

and the ROE of the four quarters of each year. As a result we experience a reduction in the number of

observations for these particular estimations.

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risk exposures itself). Given such, the reward of high returns for higher risk may not

be enough to convince the banks to sustain their engagement in securitization. Thus,

some form of windfall might be necessary to persuade banks to continue to

securitize and carry on with the strategy above. We find such windfall in the

complementary diversification effect of securitization, which we discuss in the

following section.

V. Further Analyses

A. Securitization and Loan Portfolio Diversification

Our earlier finding which shows that securitization shuffles the composition of the

bank’s loan portfolio towards more Consumer Loans, brings the possibility that

securitization may also have an impact on the diversification of the bank’s loan

portfolio. Given that diversification has implications on the risk of the bank’s loan

portfolio, as well as its returns, we look into this issue. The classical hypothesis of

diversification posits that by spreading a portfolio into different assets (or, in our

case, loans) with uncorrelated risks, the risks may cancel each other out. As such,

diversification may reduce the overall risk of the loan portfolio and that the risk-

reduction could also lead to more stable returns. In Acharya, Hasan & Saunders

(2002), this hypothesis has been partly verified by results that among Italian banks,

the banks that diversify their loans on different sectors have lower NPLs.

If we look back at our summary statistics in Table 1, we may observe that

securitization, to some degree, could lead to a more diversified loan portfolio. As we

move from the Low-Securitizers Group to the High-Securitizers Group, we see a

relatively more even distribution in the portfolio shares of each loans class. For

example, Low-Securitizers, on average, hold a large chunk of their loans in Real

Estate Loans at 62%, followed by C&I Loans at 24% and only a small portion of

Consumer Loans at 8%. In contrast, High-Securitizers, have a relatively more

balanced loan portfolio, where on average, the portfolio share of Real Estate Loans is

at 45%, while that of the C&I Loans is at 17% and that of Consumer Loans is at 26%.

To further investigate this point, we take an indicator for loan portfolio

diversification given by the inverse of the Herfindahl-Hirschman Index ( HHI−1 )32.

The intuition of this index is that the higher it is, the more diverse is the loan

portfolio. The average HHI−1 of our different bank groups are reported in Table 1.

Both Mid-Securitizers and High-Securitizers have fairly higher average

diversification indicators than the Low-Securitizers. Given such, we move to

32

Please see the Appendix for a discussion on the computation of the Herfindahl-Hirschman Index.

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confirm this observed case of securitization leading to loan portfolio diversification.

To do so, we implement a panel estimation on itHHI−1 against securitization. In this

estimation, we include the same control variables used in Equation (1). At the same

time, we add a one-period lagged value of the same indicator for loan portfolio

diversification (1

1 −− itHHI ). The purpose of adding 1

1 −− itHHI is to control for the

likelihood that the bank may have already been diversifying previously (perhaps as

a way to manage risk).

Our estimation results reported in the first row of Table 733 shows that

securitization may actually lead to loan portfolio diversification, with Securitization

being positively related to HHI−1 . We note that Securitization is statistically and

economically significant in relation to the loan portfolio diversification indicator,

even while considering for the strong reinforcing effect of the previous extent of loan

portfolio diversification (1

1 −− tHHI ).

B. Securitization, Loan Portfolio Diversification, Risk and Returns

Given the result above, we next examine if the bank reaps the known benefits of

diversification, namely lower overall loan portfolio risk and more stable returns. In

doing this, we estimate our measures of loan portfolio risk and our measures for

bank returns volatility against our diversification indicator (1

1 −− itHHI )34, while

controlling for securitization activity. We also include the control variables we have

used in the estimation of Equation (2), except for the portfolio shares of the different

loans classes, as these shares may already be accounted for by the diversification

indicator35.

Looking at our results on the second to the seventh rows of Table 736, we find

that the banks do enjoy the beneficial effects of diversification. In Panel 1, we can see

that 1

1 −− tHHI is negatively related to our measures of loan portfolio risk, indicating

that diversification lowers overall loan portfolio risk. At the same time, we can

observe that the diversification indicator is negatively related to the SD ROA and the

SD ROE, which means that diversification may stabilize bank returns. Meanwhile, in

Panel 2 we see the same relationship we have found earlier between securitization

and our variables for loan portfolio risk and bank returns stability. In the case of

33

For purposes of brevity, we report in Table 7 only the coefficients of our variables of interest namely

Securitization and the one-period lag of the diversification index (1-HHIt-1). 34

The loan portfolio diversification indicator for this set of estimations takes a one-period lag, since we use

beginning of quarter values for our independent variables, as in the earlier estimations. 35

This is because the calculation of the diversification index is based on the portfolio share of each loans class

in the bank’s loan portfolio. 36

See Note 33.

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NPLs and SD NPLs, we see that the negative impact of1

1 −− tHHI is more

economically significant than the positive impact of Securitization. These suggest that

the diversification benefit of reduced overall loan portfolio risk, may effectively

temper the increased risk brought about by securitization that results from the

greater portfolio share of risky loans. Likewise, the negative effect of 1

1 −− tHHI on SD

ROE is more economically significant than the positive effect of Securitization. This

points out that the instability of returns from securitization may also be mitigated by

the diversification benefit of stable returns. Given these, we can consider that the

diversification benefits could offset the undesirable effects of securitization. As such,

banks receive the needed windfall to continue to engage in securitization with the

interest of taking on higher risk, in pursuit of high returns.

VI. Concluding Remarks

Securitization provides banks with a means to isolate themselves from risky loans. A

number of studies have shown that banks may take advantage of this credit risk

management property of securitization, where banks with riskier assets tend to

securitize more. We expound on this point by looking at what happens to the banks’

risk exposures as they securitize.

We have observed that when securitizing, banks have larger loan portfolios and

that this increase in loan portfolio size is geared towards having more risky assets.

At the same time, we have found that these changes in the banks’ loan portfolios,

through securitization, entail an increase in the overall risk of the bank’s loan

portfolios as well as high returns. Given these, we construe that as banks securitize

and use the credit risk management property of securitization, what occurs is not

necessarily a total isolation from risk (as what theory may predict). Instead, what

happens is a taking on of greater risk among the securitizing banks, to achieve high

returns.

A concern on the high returns from securitization, however, is that we have also

found these to be unstable. This may due to the fact that the said returns are derived

from the high exposure to risky loans. Nevertheless, this concern, as well as, the

implications of having more risky assets is tempered through the benefits of having

a more diversified loan portfolio, which comes as a side-effect of the engagement in

securitization. As banks use securitization to increase their exposure to risky assets,

they also end up diversifying their loan portfolios that provide them the

diversification benefits of reduced overall loan portfolio risk and more stable

returns. With these diversification benefits offsetting the above issues, banks find the

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motivation to keep on securitizing to increase their risk exposures, and enjoy the

accompanying high rewards for taking on risky assets.

From our findings, we conclude that the credit risk management property of

securitization goes beyond the mere offloading of credit risk, by taking loans out of

the bank balance sheet. Rather, the credit risk management role of securitization

goes all the way to the structure of the bank’s loan portfolio or the bank’s choice of

assets, where this choice of assets is geared towards more risk-taking, to achieve

better returns.

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Ashcraft, A.B. & T. Schuermann. 2007. Understanding the Securitization of Subprime Mortgage Credit. Mimeo. Bannier, C.E. & D.N. Hänsel. 2007. Determinants of Banks’ Engagement in Loan Securitization. Conference on the Interaction of Market and Credit Risk. Cabiles, N.A.S. 2011. Hedging Illiquidity Risk through Securitization: Evidence from Loan

Commitments. Mimeo. Cantor, R. & R. Demsetz. 1993. Securitization, Loan Sales and the Credit Slowdown. Federal Reserve Bank of New York Quarterly Review, Summer 1993, 27-37.

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Kamp, A., A. Pfingsten & D. Porath. 2006. Do banks diversify loan portfolios? A tentative answer based on individual bank portfolios. Deutsche Bundesbank Discussion Paper Series 2, 3.

Karaoglu, N.E. 2005. Regulatory Capital and Earnings Management in Banks: The Case of Loan Sales and Securitizations. FDIC Center for Financial Research Working Paper No. 2005-05.

Lea, M. 2006. Securitization: A Primer on Structures and Credit Enhancement. Mimeo. Loutskina, E. 2011. The Role of Securitization in Bank Liquidity Funding and Management. Journal of Financial Economics, 100, 663-684.

Loutskina, E. & P. Strahan. 2008. Securitization and the Declining Impact of Bank Financial Condition on Loan Supply: Evidence from Mortgage Acceptances. Financial Cycles, Liquidity and Securitization Conference Proceedings, International Monetary Fund (IMF).

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Panetta, F. & A.F. Pozzolo. 2010. Why do banks transfer credit risk? Bank-level evidence from over one hundred countries. Mimeo. Pavel, C. & Phillis, D. 1987. Why commercial banks sell loans: An empirical analysis. Federal Reserve Bank of Chicago, Economic Perspectives. Stiroh, J. 2004. Do Community Banks Benefit from Diversification? Journal of Financial Services Research, 25(2), 135-160.

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Table 1. Summary Statistics

Volume of Bank Assets Sold & Securitized/Assets

(Securitization)

Sampling Period: 2001:4-2010:4,

No. Of Banks: 129, No. of Banks in

Each Group: 43

Low-Securitizers

(Sec ≤ 33rd

Percentile)

Mid-Securitizers

(33rd

Percentile<Sec≤

67th Percentile)

High-Securitizers

(67th Percentile<

Sec)

1 2 3

Total Loans/Assets 59.929 64.019 64.126

Real Estate Loans/Total Loans 62.434 57.585 45.991

C&I Loans/Total Loans 23.668 20.940 17.047

Consumer Loans/Total Loans 8.230 9.637 26.774

Farm Loans/Total Loans 0.554 0.425 0.588

Other Loans/Total Loans 5.185 11.441 9.633

Log of Assets 16.338 16.674 17.522

CAR 10.266 11.401 12.374

Core Deposits/Assets 58.062 51.734 43.220

1-HHI 0.433 0.454 0.453

NPLs/Total Loans 1.310 2.106 2.025

SD NPLs 0.290 0.523 0.369

Charge-Offs/Total Loans 0.563 0.920 1.667

SD Charge-Offs 0.168 0.218 0.205

ROA 0.880 0.769 1.180

SD ROA 0.200 0.425 0.394

ROE 9.809 7.613 10.576

SD ROE 2.039 3.830 3.692

Balance sheet data are taken from the FDIC Quarterly Call Reports. 1-HHI is the inverse of the Herfindahl-

Hirschman Index, serving as indicator for loan portfolio diversification. The standard deviations (SDs) are

calculated for each year using quarterly values.

Page 25: Credit Risk Management through Securitization: Effect on

25

Figure 1. Share of Securitized Loans to Total Loans Outstanding by Loans Class (2001-2004)

The share of Securitized Loans to Total Loans Outstanding of each Loans Class is calculated as the ratio of the

Amount of Securitized Loans of each Loans Class to the Total Amount of Loans of each Loans Class (e.g. Share

of Securitized Real Estate Loans = Amount of Real Estate Loans Securitized/Total Real Estate Loans

Outstanding). Data used for the calculation of figures plotted above are taken from the Flow of Funds Account

of the United States, Federal Reserve Board.

Page 26: Credit Risk Management through Securitization: Effect on

26

Figure 2. Default Rates by Loans Class (2001-2004)

The default rate of each Loans Class is calculated as the ratio of the Amount of Loans of each Loans Class that

is in Default to the Total Amount of Loans of Each Loan Class (e.g. Default Rate of the Real Estate Loans=Real

Estate Loans in Default/Total Amount of Real Estate Loans). The default rates are calculated based on the

aggregate values for the entire Commercial and Thrift Banking System under the FDIC. Data on aggregate

values for the Commercial and Thrift Banking System are accessible through the Statistics on Depository

Institutions available at the FDIC website.

Table 2. Covariance Matrix of Defaults among Different Loans Classes (2001-2004)

Farm C&I Consumer Others

Real Estate 0.1436186 0.0604956 0.1908590 0.0314621

Farm

0.0389255 0.0779504 0.0036428

C&I

0.0361855 0.0029371

Consumer 0.0127283

The covariances are calculated using the default rates in Figure 2. The range for

the calculation of the covariances is based in the sample period of 2001:4-

2010:4.

Page 27: Credit Risk Management through Securitization: Effect on

27

Table 3. Securitization and the Bank Loan Portfolio (Entire Period)

Dependent Variable

Total Loans/Assetst Consumer Loans/Loanst

1 2

Sampling Period: 2001:4-

2010:4 FE IV FE IV

Independent Variables

Securitizationt-1 0.081*** 0.086*** 0.428*** 0.475***

(8.706) (6.950) (32.356) (36.663)

Log of Assetst-1 -0.047*** -0.038*** -0.001 0.001

(-20.243) (-6.696) (-0.523) (0.015)

CARt-1 0.476*** 0.628*** 0.354*** 0.805***

(13.961) (11.481) (12.870) (14.003)

Core Deposits/Assetst-1 -0.001 0.019 -0.058*** -0.091***

(-0.071) (1.259) (-11.312) (-5.742)

Local Bank Dummy Yes Yes Yes Yes

Foreign Bank Dummy Yes Yes Yes Yes

No. of Observations 3982 3982 3982 3982

No. of Banks 129 129 129 129

R-Squared 0.378 0.167 0.435 0.426

The main independent variable for these estimations is Securitization measured as the Total Bank Assets Sold

and Securitized normalized to Total Assets. The dependent variable in Panel 1 is Loan Portfolio Size measured

as the ratio of Total Loans to Total Assets. The dependent variable in Panel 2 is the ratio of Consumer Loans to

Total Loans. FE refers to the Bank Fixed Effects estimation results, while IV refers to the Panel Instrumental

Variables estimation results. In the IV estimations, the instruments used are the previous period’s (i.e. two-

period lag) Securitization, Log of Assets, CAR, Core Deposits/Assets, Total Amount of Subordinated

Securitization Retained by the Bank/Total Bank Assets Sold and Securitized, Lines of Credit on Securitized

Loans/Total Bank Assets Sold and Securitized, and Total Amount of Securitized Loans in Default/Total Bank

Assets Sold and Securitized. Items in parenthesis report the t-statistics. * denotes significance at the 10% level,

** at the 5% level and, ***at the 1% level. All regressions include an intercept.

Page 28: Credit Risk Management through Securitization: Effect on

Tab

le 4. Sec

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Page 29: Credit Risk Management through Securitization: Effect on

29

Table 4 (Previous Page) Notes: The main independent variable is Securitization measured as the Total Bank

Assets Sold and Securitized normalized to Total Assets. The dependent variable in Panel 1 is Loan Portfolio Size

measured as the ratio of Total Loans to Total Assets. The dependent variable in Panel 2 is the ratio of

Consumer Loans to Total Loans. Estimations for the dependent variables are differentiated into two periods,

namely 2001:4-2009:2 and 2009:3-2010:4. The period of 2001:4-2009:2 pertain to the period when

securitization has been highly practiced by banks. On the other hand, the period 2009:3-2010:4 refers to the

period when banks have engaged less in securitization, as the activity has fallen out of favour due to its

involvement with the subprime crisis. FE refers to the Bank Fixed Effects estimation results, while IV refers to

the Panel Instrumental Variables estimation results. In the IV estimations, the instruments used are the

previous period’s (i.e. two-period lag) Securitization, Log of Assets, CAR, Core Deposits/Assets, Total Amount

of Subordinated Securitization Retained by the Bank/Total Bank Assets Sold and Securitized, Lines of Credit on

Securitized Loans/Total Bank Assets Sold and Securitized, and Total Amount of Securitized Loans in

Default/Total Bank Assets Sold and Securitized. Items in parenthesis report the t-statistics. * denotes

significance at the 10% level, ** at the 5% level and, ***at the 1% level. All regressions include an intercept.

Page 30: Credit Risk Management through Securitization: Effect on

30

Table 5. Securitization and Loan Portfolio Risk

Dependent Variable

NPLst Charge-Offst SD NPLst SD Charge-

Offst

Sampling Period: 2001:4-2010:4 1 2 3 4

Independent Variables

Securitizationt-1 0.786*** 0.917*** 0.141*** 0.023

(10.624) (8.240) (4.003) (0.887)

Log of Assetst-1 0.917*** 0.326*** 0.100*** 0.021***

(22.872) (17.296) (5.400) (2.709)

CARt-1 1.670*** 0.366 0.723*** 0.092

(5.409) (1.503) (4.746) (0.907)

Loans/Assetst-1 1.045*** 0.882*** 0.108* 0.046

(9.145) (12.561) (1.698) (1.503)

Real Estate Loans/Loanst-1 1.276*** 0.224*** 0.145* 0.047

(9.181) (3.025) (1.913) (1.293)

C&I Loans/Loanst-1 1.099*** 0.745*** 0.156* 0.154***

(7.304) (7.165) (1.681) (3.428)

Consumer Loans/Loanst-1 0.369** 2.579*** -0.135* 0.218***

(2.445) (20.083) (-1.648) (4.964)

Farm Loans/Loanst-1 4.463*** -0.236 0.841 0.296

(4.678) (-0.279) (1.609) (0.819)

Local Bank Dummy Yes Yes Yes Yes

Foreign Bank Dummy Yes Yes Yes Yes

No. of Observations 3982 3982 971 971

No. of Banks 129 129 129 129

R-Squared 0.230 0.317 0.092 0.071

The dependent variable in Panel 1 is Non-Performing Loans normalized to Total Loans. Non-Performing

Loans are defined as loans that have been past due for 90 days plus loans that have been in non-accrual

status. In Panel 2, the dependent variable is Charge-Offs normalized to Total Loans. Loans are Charged-Off

if they are delinquent for the past 120 days. The dependent variable in Panel 3 is the standard deviation

(SD) of Non-Performing Loans/Total Loans, while in Panel 4, the dependent variable is the SD of Charge-

Offs/Total Loans. The respective SDs are calculated for each year using quarterly values. Items in

parenthesis report the t-statistics. * denotes significance at the 10% level, ** at the 5% level and, ***at the

1% level. All regressions include an intercept.

Page 31: Credit Risk Management through Securitization: Effect on

31

Table 6. Securitization and Bank Returns

Dependent Variable

ROAt ROEt SD ROAt SD ROEt

Sampling Period: 2001:4-2010:4 1 2 3 4

Independent Variables

Securitizationt-1 0.858*** 4.935*** 0.251*** 1.672***

(9.264) (6.208) (4.640) (4.371)

Log of Assetst-1 -0.285*** -2.875*** -0.008 -0.031

(-16.017) (-15.165) (-0.737) (-0.265)

CARt-1 -1.177*** -67.438*** 0.098 -9.307***

(-4.581) (-30.092) (0.572) (-7.489)

Loans/Assetst-1 0.346*** 5.053*** 0.236*** 0.649

(4.514) (6.207) (4.843) (1.413)

Real Estate Loans/Loanst-1 -0.817*** -11.627*** -0.357*** -2.589***

(-8.100) (-11.518) (-4.445) (-3.817)

C&I Loans/Loanst-1 -0.148 -7.164*** -0.239** -3.570***

(-1.123) (-5.213) (-2.340) (-4.014)

Consumer Loans/Loanst-1 0.371*** -0.901 -0.222** -1.381**

(3.102) (-0.818) (-2.461) (-1.992)

Farm Loans/Loanst-1 -2.211*** -18.823*** -0.792 -1.222

(-3.316) (-2.877) (-1.533) (-0.444)

Local Bank Dummy Yes Yes Yes Yes

Foreign Bank Dummy Yes Yes Yes Yes

No. of Observations 3982 3982 971 971

No. of Banks 129 129 129 129

R-Squared 0.178 0.301 0.098 0.096

The dependent variable in Panel 1 is the ROA, while in Panel 2, the dependent variable is the ROE. The

standard deviations of the ROA and the ROE stand as dependent variables and measures of bank returns

stability in Panels 3 and 4, respectively. The respective SDs are calculated for each year using quarterly

values. Items in parenthesis report the t-statistics. * denotes significance at the 10% level, ** at the 5% level

and, ***at the 1% level. All regressions include an intercept.

Page 32: Credit Risk Management through Securitization: Effect on

32

Table 7. Securitization, Loan Portfolio Diversification, Risk and Returns

Independent Variables

No. of

Obs.

No. of

Banks

R-

Squared

1-HHIt-1 Securitizationt-1

Sampling Period: 2001:4-

2010:4 1 2

Dependent Variables

1-HHIt 0.855*** 0.019*** 3982 129 0.976

(107.307) (3.832)

NPLst -0.782*** 0.286*** 3982 129 0.263

(-4.098) (4.576)

Charge-Offst -0.125** 1.730*** 3982 129 0.219

(-2.465) (13.965)

SD NPLst -0.094* -0.017 971 129 0.042

(-2.428) (-0.502)

SD Charge-Offst -0.051* 0.080*** 971 129 0.043

(-1.787) (2.978)

SD ROAt -0.160*** 0.278*** 971 129 0.111

(-4.786) (5.558)

SD ROEt -2.129*** 1.981*** 971 129 0.137

(-5.254) (5.401)

The dependent variables are on the first column (leftmost panel) of the Table. 1-HHI is the indicator of loan

portfolio diversification, measured as the inverse of the Herfindahl-Hirshcman Index (HHI). For brevity, only

the main independent variables, 1-HHIt-1 (in Panel 1) and Securitizationt-1 (in Panel 2) are reported. Items in

parenthesis report the t-statistics. * denotes significance at the 10% level, ** at the 5% level and, ***at the 1%

level. All regressions include an intercept.

Page 33: Credit Risk Management through Securitization: Effect on

33

Appendix: The Herfindahl-Hirschman Index (HHI)

The HHI is originally a measure of market dispersion (or concentration), calculated

using the market shares of a set competing firms. However, the concept of the HHI

has been also applied to create an indicator for loan portfolio diversification. Studies

that have used the HHI as an indicator for loan portfolio diversification include

Acharya, et. al. (2002), Stiroh (2004), Kamp, Pfingsten & Porath (2006) and Kamp,

Pfingsten, Memmel & Behr (2007). The HHI (as a loan portfolio diversification

measure) is calculated as:

∑=

=n

i

iB qHHI1

2 (1A)

Where: BHHI is the HHI or loan portfolio diversification indicator of bank B,

idenotes a particular loan segment in bank B’s portfolio, n is the number of

segments in bank B’s loan portfolio, and

∑=

=n

i

i

i

i

Q

Qq

1

or the share of a certain loan

segment i, in bank B’s loan portfolio.

In our study, we have five loan segments, which are the five loans classes we

consider, namely Real Estate Loans, C&I Loans, Consumer Loans, Farm Loans and

Other Loans. The HHI takes a value between n/1 and 1, where a value equal to 1

means that the bank’s loans are of only one segment or that there is full

concentration (i.e. no diversification). On the other hand, an HHI equal to n/1 ,

implies equal shares among the different loan segments in bank B’s portfolio or full

diversification. For our analysis, it is more convenient to take and use the inverse of

the HHI that is, HHI−1 . In this way, we have that a higher (lower) HHI−1 indicates

a more diverse (concentrated) loan portfolio for the bank.